Associate Machine Learning Engineer
Experience: 7 - 10 Years
Location: Mumbai / Bangalore (In office/Hybrid)
Level: Associate
About the Role
This role is responsible for architecting and implementing the "Agentic" capabilities of the PHI
ecosystem. You will lead the development of multi-agent interactions and ensure technical
interoperability through advanced protocols. The role requires a robust focus on AI safety and
the implementation of secure, tool-connected agents that can execute complex tasks within the
health insurance domain.
Key Responsibilities
Agent Orchestration: Build and manage autonomous agents using the ADK and
Vertex AI Agent Engine.
Interoperability: Implement the Model Context Protocol (MCP) to connect AI agents
with internal PHI tools and external services.
Multimodal Development: Build real-time, bidirectional audio applications using the
Gemini Live API and integrate image generation models.
Safety Engineering:
Implement Model Armor and the Cloud DLP API to sanitize
prompts and protect sensitive health data (PII/PHI).
Agent-to-Agent (A2A): Configure remote agent connectivity using the A2A SDK for
cross-functional workflows.
Must-Have Skills
Advanced proficiency in the Agent Development Kit (ADK) and Vertex AI Agent
Engine.
Hands-on experience with MCP (Model Context Protocol) and the A2A SDK.
Expertise in Google Gen AI SDK for Python and multimodal grounding.
Proven experience in implementing AI safety layers (Model Armor, Cloud DLP).
Positive-to-Have Skills (Foundation)
BigQuery Optimization: Partitioning, clustering, and denormalization for cost and
performance.
Stream Processing: Building real-time pipelines with Pub/Sub and BigQuery.